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Journal Articles
- 2023
[j1]Courtney Paquette, Bart van Merriënboer, Elliot Paquette, Fabian Pedregosa:
Halting Time is Predictable for Large Models: A Universality Property and Average-Case Analysis. Found. Comput. Math. 23(2): 597-673 (2023)
Conference and Workshop Papers
- 2023
- [c8]Malik Boudiaf, Tom Denton, Bart van Merrienboer, Vincent Dumoulin, Eleni Triantafillou:
In Search for a Generalizable Method for Source Free Domain Adaptation. ICML 2023: 2914-2931 - 2022
- [c7]Utku Evci, Bart van Merrienboer, Thomas Unterthiner, Fabian Pedregosa, Max Vladymyrov:
GradMax: Growing Neural Networks using Gradient Information. ICLR 2022 - 2020
- [c6]Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio, Nicolas Le Roux:
On the interplay between noise and curvature and its effect on optimization and generalization. AISTATS 2020: 3503-3513 - 2018
- [c5]Bart van Merrienboer, Dan Moldovan, Alexander B. Wiltschko:
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming. NeurIPS 2018: 6259-6268 - [c4]Bart van Merrienboer, Olivier Breuleux, Arnaud Bergeron, Pascal Lamblin:
Automatic differentiation in ML: Where we are and where we should be going. NeurIPS 2018: 8771-8781 - 2014
- [c3]Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre
, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, Yoshua Bengio:
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. EMNLP 2014: 1724-1734 - [c2]Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, Kyunghyun Cho, Yoshua Bengio:
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. SSST@EMNLP 2014: 78-85 - [c1]Kyunghyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, Yoshua Bengio:
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. SSST@EMNLP 2014: 103-111
Informal and Other Publications
- 2024
- [i15]Ben Williams, Bart van Merriënboer, Vincent Dumoulin, Jenny Hamer, Eleni Triantafillou, Abram B. Fleishman, Matthew McKown, Jill E. Munger, Aaron N. Rice, Ashlee Lillis, Clemency E. White, Catherine A. D. Hobbs, Tries B. Razak, Kate E. Jones, Tom Denton:
Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics. CoRR abs/2404.16436 (2024) - 2023
- [i14]Malik Boudiaf, Tom Denton, Bart van Merriënboer, Vincent Dumoulin, Eleni Triantafillou:
In Search for a Generalizable Method for Source Free Domain Adaptation. CoRR abs/2302.06658 (2023) - [i13]Jenny Hamer, Eleni Triantafillou, Bart van Merriënboer, Stefan Kahl, Holger Klinck, Tom Denton, Vincent Dumoulin:
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics. CoRR abs/2312.07439 (2023) - 2022
- [i12]Utku Evci, Max Vladymyrov, Thomas Unterthiner, Bart van Merriënboer, Fabian Pedregosa:
GradMax: Growing Neural Networks using Gradient Information. CoRR abs/2201.05125 (2022) - 2019
- [i11]Valentin Thomas, Fabian Pedregosa, Bart van Merriënboer, Pierre-Antoine Manzagol, Yoshua Bengio, Nicolas Le Roux:
Information matrices and generalization. CoRR abs/1906.07774 (2019) - [i10]Matej Balog, Bart van Merriënboer, Subhodeep Moitra, Yujia Li, Daniel Tarlow:
Fast Training of Sparse Graph Neural Networks on Dense Hardware. CoRR abs/1906.11786 (2019) - 2018
- [i9]Bart van Merriënboer, Dan Moldovan, Alexander B. Wiltschko:
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming. CoRR abs/1809.09569 (2018) - [i8]Bart van Merriënboer, Olivier Breuleux, Arnaud Bergeron, Pascal Lamblin:
Automatic differentiation in ML: Where we are and where we should be going. CoRR abs/1810.11530 (2018) - 2017
- [i7]Bart van Merriënboer, Amartya Sanyal, Hugo Larochelle, Yoshua Bengio:
Multiscale sequence modeling with a learned dictionary. CoRR abs/1707.00762 (2017) - [i6]Bart van Merriënboer, Alexander B. Wiltschko, Dan Moldovan:
Tangent: Automatic Differentiation Using Source Code Transformation in Python. CoRR abs/1711.02712 (2017) - 2016
- [i5]Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang:
Theano: A Python framework for fast computation of mathematical expressions. CoRR abs/1605.02688 (2016) - 2015
- [i4]Bart van Merriënboer, Dzmitry Bahdanau, Vincent Dumoulin, Dmitriy Serdyuk, David Warde-Farley, Jan Chorowski, Yoshua Bengio:
Blocks and Fuel: Frameworks for deep learning. CoRR abs/1506.00619 (2015) - 2014
- [i3]Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Fethi Bougares, Holger Schwenk, Yoshua Bengio:
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. CoRR abs/1406.1078 (2014) - [i2]Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, KyungHyun Cho, Yoshua Bengio:
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. CoRR abs/1409.1257 (2014) - [i1]KyungHyun Cho, Bart van Merrienboer, Dzmitry Bahdanau, Yoshua Bengio:
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. CoRR abs/1409.1259 (2014)
Coauthor Index
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